UX optimization
We find out where your product loses people and why, and design what gets them through.
First we go through your screens and your data to see where people drop out; then interviews and tests with your users show why. We weigh each problem on how often it happens, what it costs and how much work it takes, so you act on what recurs and not on one loud opinion. Your team gets designs for the changes that matter most, tested with users before anyone builds them.
- You see people drop off, but not why
- Support keeps answering the same questions
- You don't know what to fix first
- You want to make what already works even better
- A map of where users drop off
- Why they get stuck, in their own words
- Findings with priorities
- Designs tested with users
AI goes through your screens and usage data for patterns in hours; we check them with users and decide what comes first.
- What we do
- Judge which patterns are real problems and where people drop off.
- How AI helps us
- Goes through your screens and usage data for patterns in hours.
- What we do
- Talk to users to learn why they get stuck.
- How AI helps us
- Transcribes the interviews and tags where users get stuck.
Test and prioritize
Tests show which problems are real. What comes first we weigh on impact and on how much work it takes.
- What we do
- Decide what comes first, on impact and on how much work it takes.
- How AI helps us
- Puts each problem next to how often it happens.
Design the fixes
We design the changes and test them with users, so your team builds what works.
- What we do
- Design the change, test it with users and hand your team what works.
- How AI helps us
- Makes variants of a fix to test, in a fraction of the time.
- It helps, but it is not required. Without analytics we rely on the audit and on what users show us.
- A UX audit is part of it, and a good first step: experts hold your product against known patterns and guidelines and quickly see where it deviates. But an audit predicts problems; it does not show how your users behave or why. Interviews and tests with your users answer that, and they find what an expert misses, such as problems that come from your users' own work. Then we design the changes and test them again.
- Yes. Then we skip the audit or keep it short, and start from what you know. We do check why users get stuck there, often with a few interviews or tests, because the cause decides the solution. Then we design it and test it with users.
- Yes. It is a service of its own, and from its findings you can decide whether to go on.
Is your question not here?Jasper is happy to answer it.